{"title":"Statistical inference for stationary linear models with tapered data","authors":"M. Ginovyan, A. A. Sahakyan","doi":"10.1214/21-ss134","DOIUrl":null,"url":null,"abstract":": In this paper, we survey some recent results on statistical infer- ence (parametric and nonparametric statistical estimation, hypotheses testing) about the spectrum of stationary models with tapered data. We also discuss some questions concerning tapered Toeplitz matrices and operators, central limit theorems for tapered Toeplitz type quadratic functionals, and tapered Fej´er-type kernels and singular integrals. These are the main tools for obtaining the corresponding results, and also are of interest in them- selves. The processes considered will be discrete-time and continuous-time Gaussian, linear or L´evy-driven linear processes with memory.","PeriodicalId":46627,"journal":{"name":"Statistics Surveys","volume":"25 1","pages":""},"PeriodicalIF":11.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics Surveys","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1214/21-ss134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
: In this paper, we survey some recent results on statistical infer- ence (parametric and nonparametric statistical estimation, hypotheses testing) about the spectrum of stationary models with tapered data. We also discuss some questions concerning tapered Toeplitz matrices and operators, central limit theorems for tapered Toeplitz type quadratic functionals, and tapered Fej´er-type kernels and singular integrals. These are the main tools for obtaining the corresponding results, and also are of interest in them- selves. The processes considered will be discrete-time and continuous-time Gaussian, linear or L´evy-driven linear processes with memory.
期刊介绍:
Statistics Surveys publishes survey articles in theoretical, computational, and applied statistics. The style of articles may range from reviews of recent research to graduate textbook exposition. Articles may be broad or narrow in scope. The essential requirements are a well specified topic and target audience, together with clear exposition. Statistics Surveys is sponsored by the American Statistical Association, the Bernoulli Society, the Institute of Mathematical Statistics, and by the Statistical Society of Canada.